Nie ma wersji polskiej
Marco Forletta
- 10 July 2024
- WORKING PAPER SERIES - No. 2951Details
- Abstract
- Using granular data from the European corporate credit register, we examine how increases in macroprudential capital buffer requirements since the pandemic have affected bank lending behaviour in the euro area. Our findings reveal that, for the average bank, the buffer requirement increases did not have a statistically significant impact on lending to non-financial corporations. Furthermore, while we document relatively slower loan growth for banks with less capital headroom, also these banks did not decrease lending in absolute terms in response to higher requirements. These findings are robustin various specifications and emerge for both loan growth at the bank-firm level and the propensity to establish new bank-firm relationships. At the firm level, we document some heterogeneity depending on firm type and firm size. Firms with a single bank relationship and small and micro enterprises experienced a relative reduction in lending following buffer increases, although substitution effects mitigated real effects at the firm level. Overall, the results suggest that the pronounced macroprudential tightening since late 2021 did not exert substantial negative effects on credit supply.Hence, activating releasable capital buffers at an early stage of the cycle appears to be a robust policy strategy, since the costs of doing so are expected to be low.
- JEL Code
- E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 27 June 2024
- OCCASIONAL PAPER SERIES - No. 352Details
- Abstract
- The 2019 revision to the Capital Requirements Directive allowed the systemic risk buffer to be applied on a sectoral basis in the European Union. Since then an increasing number of countries have implemented the new tool, primarily to address vulnerabilities in the residential real estate sector. To inform and foster a consistent understanding and application of the buffer, this paper proposes two specific methodologies. First, an indicator-based approach which provides an aggregate measure of cyclical vulnerabilities in the residential real estate sector and can signal a potential need to activate a sectoral buffer to address them. Second, a model-based approach following a stress test rationale simulating mortgage loan losses under adverse conditions, which can be used as a starting point for calibrating a sectoral buffer. Besides these methodological contributions, the paper conceptually discusses the interaction between the sectoral buffer and other prudential requirements and instruments, ex ante and ex post policy impact assessment, and factors guiding the possible release of the buffer. Finally, the paper considers possible future applications of sectoral buffer requirements for other types of sectoral vulnerabilities, for example in relation to commercial real estate, exposures to non-financial corporations or climate-related risks.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 17 March 2023
- WORKING PAPER SERIES - No. 2795Details
- Abstract
- This paper evaluates the resilience benefits of borrower-based macroprudential policies—such as LTV, DSTI, or DTI caps—for households and banks in the EU. To that end, we employ a further developed variant of the integrated micro-macro simulation model of Gross and Población (2017). Besides various methodological advances, joint policy caps are now also considered, and the resilience benefits are decomposed across income and wealth categories of borrowing households. Our findings suggest that (1) the resilience of households improves notably as a result of implementing individual and joint policy limits, with joint limits being more than additively effective; (2) borrower-based measures can visibly enhance the quality of bank mortgage portfolios over time, supporting bank solvency ratios; and (3) the policies’ resilience benefits are more pronounced for households located at the lower end of the income and wealth distributions.
- JEL Code
- C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
- 12 May 2020
- WORKING PAPER SERIES - No. 2405Details
- Abstract
- This paper studies the impact of cyclical systemic risk on future bank profitability for a large representative panel of EU banks between 2005 and 2017. Using linear local projections we show that high current levels of cyclical systemic risk predict large drops in the average bank-level return on assets (ROA) with a lead time of 3-5 years. Based on quantile local projections we further show that the negative impact of cyclical systemic risk on the left tail of the future bank-level ROA distribution is an order of magnitude larger than on the median. Given the tight link between negative profits and reductions in bank capital, our method can be used to quantify the level of “Bank capital-at-risk” for a given banking system, akin to the concept of “Growth-at-risk”. We illustrate how the method can inform the calibration of countercyclical macroprudential policy instruments.
- JEL Code
- G01 : Financial Economics→General→Financial Crises
G17 : Financial Economics→General Financial Markets→Financial Forecasting and Simulation
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C54 : Mathematical and Quantitative Methods→Econometric Modeling→Quantitative Policy Modeling
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 29 October 2019
- MACROPRUDENTIAL BULLETIN - ARTICLE - No. 9Details
- Abstract
- Cyclical systemic risk tends to build up well ahead of financial crises and is measured best by credit and asset price dynamics. This article shows that high levels of cyclical systemic risk lead to large downside risks to the bank-level return on assets three to five years ahead. Hence, exuberant credit and asset price dynamics tend to increase considerably the likelihood of large future bank losses. Given the tight link between bank losses and reductions in bank capital, the results presented in this article can be used to quantify the level of “Bank capital-at-risk” (BCaR) for a banking system. BCaR is a useful tool for macroprudential policy makers as it helps to quantify how much additional bank resilience could be needed if imbalances unwind and systemic risk materialises.
- JEL Code
- G01 : Financial Economics→General→Financial Crises
G17 : Financial Economics→General Financial Markets→Financial Forecasting and Simulation
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C54 : Mathematical and Quantitative Methods→Econometric Modeling→Quantitative Policy Modeling
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages